Author

Weihang Chen

Washington University in St. LouisPrimary ORCID profile (0000-0003-0931-472X · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Weihang CheniD5 papers · Harvard University

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:large language model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Fuhai LiiD· 2 shared Michael A. ProvinceiD· 2 shared Philip PayneiD· 2 shared Tianqi XuiD· 2 shared Yixin Chen· 2 shared Di HuangiD· 1 shared Hao LiiD· 1 shared Heming ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Fuhai LiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

CellTosg2Sequence: A Unified Text-Omics-Signaling-Graph Large Language Model for Single-Cell Analysis

Weihang Chen, Mingrui Ye, Tianqi Xu, Di Huang, Heming Zhang, Hao Li, Wenyu Li, Yixin Chen, Michael A. Province, Philip Payne, Fuhai Li

CellTosg2Sequence integrates biomedical text and signaling graphs into a language model for single-cell analysis, improving performance over existing models.

bioRxiv · Jun 22, 2026 · PreprintBioinformatics

Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery

ZIXI XU, Weihang Chen, Wuyu Ren, Tianqi Xu, Somadina Amaechin, Raad Khan, Yixin Chen, Michael A. Province, Philip Payne, Fuhai Li

This paper introduces a framework combining large language models with omics data analysis to prioritize disease targets and drug strategies, validated in Alzheimer's and pancreatic cancer.

bioRxiv · May 23, 2026 · PreprintBioinformatics